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. 2014 Mar 5;14:36. doi: 10.1186/1471-2288-14-36

Table 2.

Comparison of classification methods for estimating BSI rate and difference in adjusted rates with 10% identifier error (simulated datasets 10-12)

Classification N Infections Crude rate (95% CI)
N×100054,826beddays
Standard error % bias Difference in adjusted rates (95% CI) Standard error % bias
Gold standard
1000
18.24
0.577
 
5.514
1.214
 
10: Random error
HW
869
15.84 (14.79, 16.90)
0.646
-13.1
4.55 (2.33, 6.76)
1.129
-17.5
PII MPD = 0.1
1038
18.94 (17.67, 20.21)
0.646
3.8
5.32 (2.75, 7.89)
1.313
-3.5
PII MPD = 0.9
860
15.69 (14.61, 16.77)
0.551
-14.0
4.45 (2.18, 6.72)
1.160
-19.3
11: Non-random error; by covariate
HW
886
16.15 (15.09, 17.21)
0.543
-11.4
10.93 (8.61, 13.24)
1.183
98.2
PII MPD = 0.1
1010
18.41 (17.21, 19.62)
0.614
1.0
11.69 (9.12, 14.26)
1.311
111.9
PII MPD = 0.9
858
15.65 (14.57, 16.72)
0.548
-14.2
11.454 (9.09, 13.82)
1.208
107.7
12: Non-random error; by outcome
HW
364
6.65 (5.98, 7.32)
0.343
-63.6
1.94 (0.53, 3.35)
0.720
-64.9
PII MPD = 0.1
684
12.48 (10.87, 14.09)
0.822
-31.6
3.36 (0.51, 6.20)
1.453
-39.1
PII MPD = 0.9 217 3.95 (3.39, 4.51) 0.287 -78.3 1.20 (0.00, 2.39) 0.610 -78.3